Study: DiaNet v2 deep learning based method for diabetes diagnosis using retinal images.Image Credit: LALAKA/Shutterstock.com. Background. Diabetes mellitus (DM) is a metabolic disorder that is ...

A convolutional neural network model accurately and reliably predicted age and sex using retinal fundus images; however, accuracy dropped among patients with underlying systemic vascular-related ...

Artificial Intelligence can be used to predict heart attack risk using retinal images, according to new research backed by Google. The researchers trained deep learning algorithms on data from ...

The stroke and heart attack prediction results will be presented at the 47th Congress of the European Society of Cardiology (ESC), London, UK, from 30th August to 2nd September 2024. Using the ...

RETFound was tested using diabetic retinopathy databases of MESSIDOR-2, the Indian diabetic retinopathy image ... including those pre-trained on ImageNet-21k using classical transfer learning, ...

The study led by researchers from Google, Verily Life Sciences, and the Stanford School of Medicine used deep-learning algorithms to extract new knowledge from retinal images. The AI scanned the ...

Using the high-resolution retinal color images of the individual’s eyes and health data, the iPredict™ AI System’s stroke and MI prediction results will be available in fully automated ...